Tabla de Contenidos: “…; 3.5.2 Inputs, outputs, tracks and channels; 3.5.3 Track usage, storage capacity and disk assignment; 3.5.4 Dropping-in; 3.6 System latency; 3.7 Principles of audio editing; 3.7.1 Advantages of non-linear editing; 3.7.2 Sound files and sound segments; 3.7.3 Edit point handling; 3.7.4 Crossfading; 3.7.5 Editing modes; 3.7.6 Simulation of 'reel-rocking'; 4 MIDI and synthetic audio control; 4.1 Background; 4.2 What is MIDI?…”

Tabla de Contenidos: “…9.2.4 Other US productions9.2.5 What frame rate to choose; 9.2.6 Potential cost savings; 9.3 European productions; 9.3.1 European feature films; 9.3.2 European television; 9.4 Performance shows; 9.4.1 The Merchant of Venice; PART 3 The Technology; 10 Digital imaging; 10.1 The history of digits; 10.2 Digital tonal range; 10.3 Linear and logarithmic sampling; 10.4 Image resolution, why so many pixels?…”

Tabla de Contenidos: “…Analyzing the Results; 4.7. Testing Non-Linear Relationships; 5. Measuring Quality; 5.1.2. …”

Tabla de Contenidos: “…Introduction; 1.1 About This Book; 1.2 Graphics on Handheld Devices; 1.3 Mobile Graphics Standards; Part I: Anatomy of a Graphics Engine; Chapter 2. Linear Algebra for 3D Graphics; 2.1 Coordinate Systems; 2.2 Matrices; 2.3 Affine Transformations; 2.4 Eye Coordinate System; 2.5 Projections; 2.6 Viewport and 2D Coordinate Systems; Chapter 3. …”

Tabla de Contenidos: “…3.5 Essential operations and tasks3.6 Performance to arrangement; 3.7 Finishing your work; Scene 4 Global Record: Capturing Arrangements on the Fly; 4.1 Introduction; 4.2 The Global Record concept; 4.3 Music on the fly; 4.4 User interfacing: two parallel worlds; 4.5 The linear approach; 4.6 The nonlinear approach; Scene 5 Arrangement View Concepts; 5.1 Musical timeline; 5.2 Layout; 5.3 Navigating; 5.4 The Arrangement View; 5.5 Working with automation; 5.6 Arranging concepts; Scene 6 Session View Concepts; 6.1 Real-time "launching base"; 6.2 Layout; 6.3 Clips; 6.4 Tracks versus Scenes…”

Tabla de Contenidos: “…Half Title; Title Page; Copyright; Contents; Preface; Essentials; 1 Introduction; 1.1 Using MATLAB; 1.1.1 Arithmetic; 1.1.2 Variables; 1.1.3 Mathematical functions; 1.1.4 Functions and commands; 1.1.5 Vectors; 1.1.6 Linear equations; 1.1.7 Tutorials and demos; 1.2 The desktop; 1.2.1 Using the Editor and running a script; 1.2.2 Help, publish, and view; 1.2.3 Symbolics and the MuPAD notebook APP; Differentiation and integration; 1.2.4 Other APPS; 1.2.5 Additional features; 1.3 Sample program; 1.3.1 Cut and paste; 1.3.2 Saving a program: script files; Current directory…”

Tabla de Contenidos: “…3.1.3 Method 2: Creating Vectors Using the Linear Method…”

Tabla de Contenidos: “…Motor Pumps; 2.3.3. Piezoelectric Linear Actuator; 2.3.4. Artificial Muscles; 2.3.5. …”

Tabla de Contenidos: “…4.3 Measurement Techniques4.3.1 MDCT Sequential (Axial) Scanning; 4.3.2 MDCT Spiral (Helical) Scanning; 4.3.2.1 Pitch; 4.3.2.2 Collimated and Effective Slice Width; 4.3.2.3 Multislice Linear Interpolation and z-Filtering; 4.3.2.4 Three-Dimensional Backprojection and Adaptive Multiple Plane Reconstruction (AMPR); 4.3.2.5 Double z-Sampling; 4.3.3 ECG-Triggered and ECG-Gated Cardiovascular CT; 4.3.3.1 Principles of ECG-Triggering and ECG-Gating; 4.3.3.2 ECG-Gated Single-Segment and Multisegment Reconstruction; 4.4 Applications; 4.4.1 Clinical Applications of Computed Tomography…”

Tabla de Contenidos: “…Lists -- Lists in Scratch -- Creating Lists -- List Commands -- Add and Delete -- Insert and Replace -- Accessing List Elements -- The Contains Block -- Bounds Checking -- Dynamic Lists -- Filling Lists with User Input -- Creating a Bar Chart -- Numerical Lists -- Finding Min and Max -- Finding the Average -- Searching and Sorting Lists -- Linear Search -- Frequency of Occurrence -- Bubble Sort -- Finding the Median -- Scratch Projects -- The Poet -- Quadrilateral Classification Game -- Math Wizard -- Flower Anatomy Quiz -- Other Applications -- Summary -- Problems -- A. …”

Tabla de Contenidos: “…Inverse Synthetic Aperture Radar Imaging with MATLAB Algorithms; Contents; Preface; Acknowledgments; CHAPTER ONE: Basics of Fourier Analysis; 1.1 FORWARD AND INVERSE FOURIER TRANSFORM; 1.1.1 Brief History of FT; 1.1.2 Forward FT Operation; 1.1.3 IFT; 1.2 FT RULES AND PAIRS; 1.2.1 Linearity; 1.2.2 Time Shifting; 1.2.3 Frequency Shifting; 1.2.4 Scaling; 1.2.5 Duality; 1.2.6 Time Reversal; 1.2.7 Conjugation; 1.2.8 Multiplication; 1.2.9 Convolution; 1.2.10 Modulation; 1.2.11 Derivation and Integration; 1.2.12 Parseval's Relationship; 1.3 TIME-FREQUENCY REPRESENTATION OF A SIGNAL…”

Tabla de Contenidos: “…Introduction; 1.1 Using MATLAB; 1.1.1 Arithmetic; 1.1.2 Variables; 1.1.3 Mathematical functions; 1.1.4 Functions and commands; 1.1.5 Vectors; 1.1.6 Linear equations; 1.1.7 Demo; 1.1.8 Help; 1.1.9 Additional features; 1.2 The MATLAB Desktop; 1.3 Sample Program; 1.3.1 Cut and paste; 1.3.2 Saving a program: script files; 1.3.3 A program in action; Summary; Chapter Exercises; Chapter 2. …”

Tabla de Contenidos: “…Block Codes (Grigorii Kabatiansky, Evgenii Krouk, Andrei Ovchinnikov, and Sergei Semenov) -- 3.1 Main Definitions -- 3.2 Algebraic Structures -- 3.3 Linear Block Codes -- 3.4 Cyclic Codes -- 3.5 Bounds on Minimum Distance -- 3.6 Minimum Distance Decoding -- 3.7 Information Set Decoding -- 3.8 Hamming Codes -- 3.9 Reed-Solomon Codes -- 3.10 BCH Codes -- 3.11 Decoding of BCH Codes -- 3.12 Sudan Algorithm and Its Extensions -- 3.13 LDPC Codes -- References -- 4. …”

Tabla de Contenidos: “…Tell a story : Use takeaway titles ; Put it into words ; Identify the tension ; Utilize the components of story ; Arrange along the narrative arc ; Differentiate between live & standalone stories ; Transition from dashboard to story ; Identify the tension ; Move from linear path to narrative arc ; Build a narrative arc ; Evolve from report to story ; From a pithy, repeatable phrase ; What's the story? …”

Tabla de Contenidos: “…Zweiwertig zu Künstlicher Intelligenz (KI) -- 6.1 Das Problem linearer Klassifizierer -- 6.2 Ein neues Prinzip des Lernens -- 7. …”

Tabla de Contenidos:

Tabla de Contenidos: “…-- Chapter 1 The Bad and Good Reasons for Your Digital Transformation -- The Risk of Falling into the Digital-Hype Trap -- The Beneficiaries (Hint: It's Not Necessarily Only You) -- Chapter 2 Why Digital Transformation Advice Can Get You Off the Payback Track -- What You Should Learn from Technology Payback Research -- Digital Maturity and Payback Are Not the Same -- Chapter 3 Digital Transformation Payday: A New Framework for Accelerated Payback -- Five Key Elements of Digital Transformation Payback -- The Path to Payback Is Never as Linear as You Hope -- The Only Econometric Formulas You Need to Understand -- Part II Five Key Elements Drive Digital Transformation Payback -- Chapter 4 Supply-Side Catalysts: Digital Technologies Alone Do Not Do the Trick -- Digital Technology Does Not Scale Without New Skills and Funding -- Chapter 5 Demand-Side and Overarching Catalysts: Customers and Workforces Have Changed -- From You They Expect Nothing Less -- Demand-Side Customer Needs -- Demand-Side Workforce Expectations -- Demand-Side Spending Patterns -- Overarching: Industry Barriers Are Blurring, Whether You Like It or Not -- Chapter 6 Reactants/Scope: Make Sure Your Investments End Up Transforming Your Core -- Core Business Digital Transformations Are Prone to Failure But Must Be Your Final Goal -- Digital-Adjacent Businesses Will Never Be Family Without Proper Reintegration -- Digital Frontier Businesses Will Not Behave (the Way You Expect) -- Chapter 7 Reaction Mechanisms/Process: Agile Done Wrong Can Be a Very Effective Tool of Value Destruction -- Waterfall Is Not Dead Yet, But It's About to Be Retired…”

Tabla de Contenidos: “…4.1 MAC Layer and Multiple Access Techniques 83 -- 4.2 Queuing Theory 87 -- 4.2.1 Statistical Multiplexing of Packets 87 -- 4.2.2 Queuing Models 92 -- 4.3 Concluding Remarks 106 -- 4.3.1 How Congestion Happens in Tactical Wireless Networks 106 -- 4.3.2 Historical Perspective 107 -- 4.3.3 Remarks Regarding the First Part of the Book 108 -- Bibliography 110 -- Part II THE EVOLUTION OF TACTICAL RADIOS -- 5 Non-IP Tactical Radios and the Move toward IP 113 -- 5.1 Multistep Evolution to the Global Information Grid 113 -- 5.2 Link-16 Waveform 114 -- 5.2.1 Link-16 Messages 119 -- 5.2.2 Link Layer Operations of Link-16 120 -- 5.2.3 JTIDS/LINK-16 Modulation and Coding 120 -- 5.2.4 Enhancements to Link-16 126 -- 5.2.5 Concluding Remarks on Link-16 Waveform 129 -- 5.3 EPLRS Waveform 130 -- 5.4 SINCGARS Waveform 131 -- 5.5 Tactical Internet (TI) 131 -- 5.6 IP Gateways 136 -- 5.6.1 Throughput Efficiency 136 -- 5.6.2 End-to-End Packet Loss 137 -- 5.7 Concluding Remarks 137 -- 5.7.1 What Comes after the GIG? …”

Tabla de Contenidos: “…9.2.1 Ein/Aus (On/Off) -- 9.2.2 Zufälliges Flackern (Random Flicker) -- 9.2.3 Zufälliges Blinken (Random Blink) -- 9.2.4 Leuchtturm (Lighthouse) -- 9.2.5 Defektes Licht (Broken Light) -- 9.2.6 Triebwerk-Glühen (Engine Glow) -- 9.2.7 Photon Torpedo -- 9.2.8 Laser-Puls (Laser Pulse) -- 9.2.9 50-%-Blinker + (50% Flasher +) -- 9.2.10 50-%-Blinker - (50% Flasher -) -- 9.2.11 Stroboskop + (Strobe +) -- 9.2.12 Stroboskop - (Strobe -) -- 9.2.13 Gyralite + -- 9.2.14 Gyralite - -- 9.2.15 Audio-moduliert (Sound Modulated) -- 9.2.16 Geschwindigkeits-moduliert (Speed Modulated) -- 9.2.17 Statusanzeige (Status Indicator) -- 9.2.18 Erhöhe Helligkeit (Increase Brightness) -- 9.2.19 Verringerung der Helligkeit (Decrease Brightness) -- 9.2.20 Helligkeitswert setzen (Set Brightness) -- 9.3 Kombinations-Effekte -- 9.3.1 Linearer Durchlauf (Linear Sweep) -- 9.3.2 Balkenanzeige (Bargraph Sweep) -- 9.3.3 Bidirektionaler Durchlauf (Bi-Directional Sweep) -- 9.3.4 Zwillings-Blinker (Twinsonic Flashers) -- 9.3.5 Whelen-Blinker (Whelen Flashers) -- 9.3.6 Times Square -- 9.3.7 Rauschen (Noise) -- 9.3.8 Funkelnde Sterne (Twinkling Stars) -- 9.3.9 Ampeln (Traffic Lights) -- 9.3.10 Pegelanzeige (Sound Bar) -- 9.3.11 Abwechselnde Blinker (Alternating Flashers) -- 9.3.12 Lava-Lampe (Lava Lamp) -- 9.3.13 Laser-Kanone (Laser Cannon) -- 9.3.14 Motorsport-Ampeln -- 9.3.15 Flugleitsignale -- 9.4 Programmierbare Effekte -- 9.4.1 Kommentare -- 9.4.2 Schlüsselwörter -- 9.4.3 Anweisungen für Licht-Effekte -- 9.4.4 Ausführungs-Steuerung -- 9.4.5 Beispiel -- 9.5 Erweiterungen -- 9.5.1 Opto-Isolator-Adapter -- 9.5.2 Treiberplatine für mehr LEDs -- 9.5.3 Lichtleiter-Adapterplatine -- 10 Beleuchtungs­techniken und ­Beispiele -- 10.1 Beleuchtung von Gebäuden -- 10.1.1 Deckenbeleuchtung -- 10.1.2 Stromführung zwischen Stockwerken -- 10.1.3 Verteiler -- 10.1.4 Kabeltunnel…”

Tabla de Contenidos: “…Chapter 2: Build a Breast Cancer Prognosis Pipeline with the Power of Spark and Scala -- Breast cancer classification problem -- Breast cancer dataset at a glance -- Logistic regression algorithm -- Salient characteristics of LR -- Binary logistic regression assumptions -- A fictitious dataset and LR -- LR as opposed to linear regression -- Formulation of a linear regression classification model -- Logit function as a mathematical equation -- LR function -- Getting started -- Setting up prerequisite software -- Implementation objectives -- Implementation objective 1 - getting the breast cancer dataset -- Implementation objective 2 - deriving a dataframe for EDA -- Step 1 - conducting preliminary EDA -- Step 2 - loading data and converting it to an RDD[String] -- Step 3 - splitting the resilient distributed dataset and reorganizing individual rows into an array -- Step 4 - purging the dataset of rows containing question mark characters -- Step 5 - running a count after purging the dataset of rows with questionable characters -- Step 6 - getting rid of header -- Step 7 - creating a two-column DataFrame -- Step 8 - creating the final DataFrame -- Random Forest breast cancer pipeline -- Step 1 - creating an RDD and preprocessing the data -- Step 2 - creating training and test data -- Step 3 - training the Random Forest classifier -- Step 4 - applying the classifier to the test data -- Step 5 - evaluating the classifier -- Step 6 - running the pipeline as an SBT application -- Step 7 - packaging the application -- Step 8 - deploying the pipeline app into Spark local -- LR breast cancer pipeline -- Implementation objectives -- Implementation objectives 1 and 2 -- Implementation objective 3 - Spark ML workflow for the breast cancer classification task -- Implementation objective 4 - coding steps for building the indexer and logit machine learning model…”