“…DSP fundamentals: ideal, natural, and instantaneous sampling; delta functions; physical signal reconstruction; and more Fourier Analysis: Fourier series and transforms; discrete-time and discrete Fourier transforms; signal truncation; DFT leakage and resolution Fast Fourier transforms: decimation in time and frequency; prime factor algorithms; and fast convolution Window techniques: sinusoidal analysis; window characteristics and choices; Kaiser windows; and more Classical spectrum analysis: unmodified and modified periodograms; Bartlett’s and Welch’s periodograms; and periodogram performance FIR filters: design options; linear-phase FIR filters; periodicities; basic and Kaiser window methods; and the Parks-McClellan algorithm Analog prototype filters: Laplace transforms; characterization; and Butterworth, Chebyshev, elliptic, and Bessel filters z-Transform analysis: computation and transforms using partial fraction expansion IIR filters: design options; impulse invariance methods; and bilinear transformation Multirate signal processing: decimation and interpolation fundamentals; multistage and polyphase decimat..…”

“…What you will learn Understand what makes time series data different from other data Apply various imputation and interpolation strategies for missing data Implement different models for univariate and multivariate time series Use different deep learning libraries such as TensorFlow, Keras, and PyTorch Plot interactive time series visualizations using hvPlot Explore state-space models and the unobserved components model (UCM) Detect anomalies using statistical and machine learning methods Forecast complex time series with multiple seasonal patterns Who this book is for This book is for data analysts, business analysts, data scientists, data engineers, or Python developers who want practical Python recipes for time series analysis and forecasting techniques. …”

“…Integrated coverage of new C# 6 functionality: string interpolation, expression-bodied methods and properties, auto-implemented property initializers, getter-only properties, nameof, null-conditional operator, exception filters and more. …”

“…You will then learn about different NumPy modules while performing mathematical operations such as calculating the Fourier Transform; solving linear systems of equations, interpolation, extrapolation, regression, and curve fitting; and evaluating integrals and derivatives. …”

“…After estimating unknown values using interpolation methods and demonstrating visualization and analytical techniques, the module ends by creating an editable and data-rich map for the discovery of community information. …”

“…Wagner shows how and why to Prefer implicitly typed local variables (see Item 1) Replace string.Format() with interpolated strings (see Item 4) Express callbacks with delegates (see Item 7) Make the most of .NET resource management (see Item 11) Define minimal and sufficient constraints for generics (see Item 18) Specialize generic algorithms using runtime type checking (see Item 19) Use delegates to define method constraints on type parameters (see Item 23) Augment minimal interface contracts with extension methods (see Item 27) Create composable APIs for sequences (see Item 31) Decouple iterations from actions, predicates, and functions (see Item 32) Prefer lambda expressions to methods (see Item 38) Distinguish early from deferred execution (see Item 40) Avoid capturing expensive resources (see Item 41) Use exceptions to report method contract failures (see Item 45) Leverage side effects in exception filters (see Item 50) You’re already a successful C# programmer, and this book will make you an outstanding one. …”

“…What you will learn Use RNN models in Magenta to generate MIDI percussion, and monophonic and polyphonic sequences Use WaveNet and GAN models to generate instrument notes in the form of raw audio Employ Variational Autoencoder models like MusicVAE and GrooVAE to sample, interpolate, and humanize existing sequences Prepare and create your dataset on specific styles and instruments Train your network on your personal datasets and fix problems when training networks Apply MIDI to synchronize Magenta with existing music production tools like DAWs Who this book is for This book is for technically inclined artists and musically inclined computer scientists. …”

“…Skill Level Beginner Intermediate Learn How To Avoid common pitfalls and “gotchas” in Pandas by understanding the conceptual underpinnings common to most data manipulation libraries and environments Create univariate (Series) and multivariate (DataFrame) data structures in Pandas Read from and write to external data sources like text and binary files and databases Use the Split-Apply-Combine technique to calculate grouped summary statistics like mean, median, and standard deviation on your data Handle time series data; apply lead, lag, and rolling computations to them; and interpolate missing data Merge and reshape datasets Understand how data alignment is a central concept of Pandas Who Should Take This Course People with a solid understanding of Python programming who want to learn how to load and transform tabular data using Pandas and understand general principles and requirements common to tabular data manipulation frameworks Course Requirements Intermediate-level programming ability in Python. …”

“…Coverage includes Mastering Quartz Composer’s powerful interface Grabbing live inputs from music or cameras for unique interaction and improvisation Outputting video files for everything from smartphone screens to HD video edits Using built-in image filters to add visual effects Creating organic motion with LFOs, interpolation, and trackballs Fixing problems and figuring out what you did wrong Making rain, fire, and other cool stuff with particles Integrating MIDI musical instruments and other audio resources Mastering lighting and timelines Building richer environments with replication, iteration, and 3D modeling Pushing the boundaries with secret patches, CoreImage filters, and GLSL If you're a motion graphics designer, filmmaker, VJ, artist, interactive programmer, Cocoa developer, or any other type of "Maker," this book will guide you from acolyte to wizard in no time... and it just might be the most fun instructional you'll ever read! …”

“…First, we'll run you through the basics of C#, as well as object-orient programming, before taking a quick tour through the latest features of C# 6 such as string interpolation for easier variable value output, exception filtering, and how to perform static class imports. …”

“…Para responder a estas y otras preguntas, las páginas de la novela acogen una sucesión de voces muy dispares: las de la fundadora del Reina Sofía, algunos de sus directores, los policías de la Brigada de Patrimonio que investigaron la desaparición, la jueza que instruyó el caso, personal del museo, ministros, el empresario que custodió la obra, galeristas americanos, el propio Richard Serra, su amigo −y antiguo ayudante− Philip Glass, marchantes de arte, críticos, artistas, concejales, coleccionistas, un coreógrafo que danzó alrededor de la escultura, ingenieros, periodistas, historiadores, vigilantes, políticos, una terrorista, un jubilado, un camionero, un chatarrero, un taxista, una agente de la Interpol, el propio autor del libro, en tratos con una editora para escribirlo, o César Aira, que propone una teoría tan loca como deliciosa sobre el verdadero destino de la escultura." -- contracoberta…”

“…Then you learn how to insert or interpolate one string into another. Next you learn how to print strings to the screen from the terminal window. …”