Tabla de Contenidos: “…Magnetism and Magnetic Components; D.1 Basic Magnetic Theory Applied to Switching Power Supplies; D.2 Selecting the Core Material and Style; Appendix E. Noise Control and Electromagnetic Interference; E.1 The Nature and Sources of Electrical Noise; E.2 Typical Sources of Noise; E.3 Enclosure Design; E.4 Conducted EMI Filters; Design of the common-mode filter…”

Tabla de Contenidos: “…5.2: Signal Desensitization and Blocking5.3: Intermodulation Distortion; 5.4: Cascaded Input-Referred Intercept Points; 5.5: Cross Modulation Distortion; 5.6: Harmonics; 5.7: Phase Noise and Reciprocal Mixing; 5.8: Spurious Signals; 5.9: Appendix; References; Chapter 6: Transceiver System Analysis and Design Parameters; 6.1 Receiver Selectivity; 6.2 Receiver Dynamic Range; 6.3 AM/AM and AM/PM; 6.4 Frequency Bands, Accuracy and Tuning; 6.5 Modulation Accuracy: EVM and Waveform Quality Factor; 6.6 Adjacent Channel Leakage Ratio (ACLR); 6.7 Transmitter Broadband Noise; References…”

Tabla de Contenidos: “…Setting Proper Audio Levels; Hot Tip: Bracketing Your Audio; Wireless Mic Units; Five Wireless Mic Tips; Taming Wind Noise; Wind Noise Is Most Likely...; Blocking Out Wind Noise; Dealing with Shorts; Beware Shorts; Detecting Shorts; Hot Tip: Two Mics are Always Better Than One; Audio Troubleshooting Guide; Other Audio Trouble Spots; Been There, Done That: Location Recording Issues and Post Tools; Fixing Location Audio in Post; Hot Tip: Graphic Equalizer; Voice-over Narration; Casting; Directing Narration; Directing Voice-overs; Voice-over Setups…”

Tabla de Contenidos: “…Confessions of a Compact Camera Shooter; Contents; Foreword - Full-Featured Compact Digital Cameras; Introduction - Confessions of a Compact Camera Shooter; Confession; Keep It Clean; See the Difference?; Noise; Lens Appeal; Check It Out; Uh Oh ...; The Rescue; Plug In for Fun; Save As ... …”

“…Machine Learning and Neural Networks 101 -- Predicting Diabetes with Multilayer Perceptrons -- Predicting Taxi Fares with Deep Feedforward Networks -- Cats Versus Dogs - Image Classification Using CNNs -- Removing Noise from Images Using Autoencoders -- Sentiment Analysis of Movie Reviews Using LSTM -- Implementing a Facial Recognition System with Neural Networks -- What's next? …”

“…Fully illustrated throughout, each chapter is written by invited specialists and presents chapters on hole-drilling and ring-coring, deep hole drilling, slitting, contour method measurements, X-ray/synchrotron/neutron diffraction, ultrasonics, Barkhausen noise and optical measurement techniques"--…”
Enlace del recurso

“…This book also studies the technical parameters and provides a comprehensive overview of the significant characteristics for urban transportation systems, including energy management systems, wireless communication systems, operations and maintenance systems, transport serviceability, environmental problems and solutions, simulation, modelling, analysis, design, safety and risk, standards, traffic congestion, ride quality, air quality, noise and vibration, financial and economic aspects, pricing strategies, etc. …”

“…Several functions have been attributed to the efferent system, including protection to acoustic trauma, unmasking of auditory stimuli in background noise, balance of interaural sensitivity and some cognitive functions like modulation of cochlear sensitivity during selective attention to auditory or visual stimuli. …”

“…Contributors not only cover such timely environmental topics related to soils, water, and air, minimizing pollution created by industrial plants and processes, and managing wastewater, hazardous, solid, and other industrial wastes, but also treat such vital topics as porous pavement design, aerosol measurements, noise pollution control, and industrial waste auditing. …”

“…Key Features Practical coverage of every image processing task with popular Python libraries Includes topics such as pseudo-coloring, noise smoothing, computing image descriptors Covers popular machine learning and deep learning techniques for complex image processing tasks Book Description Image processing plays an important role in our daily lives with various applications such as in social media (face detection), medical imaging (X-ray, CT-scan), security (fingerprint recognition) to robotics & space. …”

“…Ideally, the system should be able to recognise (detect and classify) any complex scene of objects even within background clutter noise. In this book, we present recent advances towards achieving fully-robust object recognition. …”

“…Road user charging includes a number of charging measures that governments and other road owners use to: i) finance new or maintain existing road infrastructure ii) manage traffic (e.g. reduce congestion) iii) minimise environmental impacts of transport iv) internalise the external costs of road transport caused, e.g., by pollution and noise emissions. Historically, the common approach to charging for road use is some form of general taxation rather than differentiated road user charging. …”

“…However, controlling for these negative factors (air, noise, and lack of green space), we also find a large positive residual impact of urban environments on life satisfaction. …”

“…Now inThe Prop Effects Guidebook>, he shows us how to connect and assemble components and parts to make those props light up, explode, make noise, and bleed. It delves into the world of electricity, pneumatics, liquids, and mechanical effects to teach you how to make your props perform magic in front of a live audience. …”

“…In this updated second edition, you will: Work with NumPy arrays and SciPy methods, including basic signal processing and Fast Fourier Transform Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines Get Jupyter notebooks filled with starter code and solutions to help you re-implement and extend original experiments in complexity; and models of computation like Turmites, Turing machines, and cellular automata Explore the philosophy of science, including the nature of scientific laws, theory choice, and realism and instrumentalism Ideal as a text for a course on computational modeling in Python, Think Complexity also helps self-learners gain valuable experience with topics and ideas they might not encounter otherwise…”

“…Vinyl reproduction presents some unique technical challenges; the signal levels from moving-magnet cartridges are low, and those from moving-coil cartridges lower still, so a good deal of high-quality low-noise amplification is required. Some of the features of Electronics for Vinyl include: ● integrating phono amplifiers into a complete preamplifier; ● differing phono amplifier technologies; covering active, passive, and semi-passive RIAA equalisation and transconductance RIAA stages; ● the tricky business of getting really accurate RIAA equalisation without spending a fortune on expensive components, such as switched-gain MM/MC RIAA amplifiers that retain great accuracy at all gains, the effects of finite open-loop gain, cartridge-preamplifier interaction, and so on; ● noise and distortion in phono amplifiers, covering BJTs, FETs, and opamps as input devices, hybrid phono amplifiers, noise in balanced MM inputs, noise weighting, and cartridge load synthesis for ultimately low noise; ● archival and non-standard equalisation for 78s etc.; ● building phono amplifiers with discrete transistors; ● subsonic filtering, covering all-pole filters, elliptical filters, and suppression of subsonics by low-frequency crossfeed, including the unique Devinyliser concept; ● ultrasonic and scratch filtering, including a variety of variable-slope scratch filters; ● line output technology, including zero-impedance outputs, on level indication for optimal setup, and on specialised power supplies; and ● description of six practical projects which range from the simple to the highly sophisticated, but all give exceptional performance. …”

“…You’ll learn how to predict what customers will spend on a given product next year... project how many patients your hospital will admit next quarter... tease out the effects of seasonality (or patterns that recur over a day, year, or any other period)... distinguish real trends from mere “noise.” Drawing on more than 20 years of experience, Carlberg helps you master powerful techniques such as autocorrelation, differencing, Holt-Winters, backcasting, polynomial regression, exponential smoothing, and multiplicative modeling. …”

“…It's time to separate from the pack of noise. It's time to UnSell …”

“…Python will be utilized to assess various aspects of your time series data, such as seasonality, trend, noise, autocorrelation, mean over time, correlation, and stationarity. …”

“…In a second phase, we investigate if revision performance is improved using stabilizing forecasts or by changing the cycle estimation window from the baseline 6 and 96 months (i.e. filtering out high frequency noise with a cycle length shorter than 6 months and removing trend components with cycle length longer than 96 months) to 12 and 120 months. …”