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    Digital Signal Processing 101

    Digital Signal Processing 101

    - Everything You Need to Know to Get Started

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    Bog E-bog
    • Format
    • Bog, paperback
    • Engelsk

    Beskrivelse

    Digital Signal Processing 101: Everything You Need to Know to Get Started provides a basic tutorial on digital signal processing (DSP). Beginning with discussions of numerical representation and complex numbers and exponentials, it goes on to explain difficult concepts such as sampling, aliasing, imaginary numbers, and frequency response. It does so using easy-to-understand examples with minimum mathematics. In addition, there is an overview of the DSP functions and implementation used in several DSP-intensive fields or applications, from error correction to CDMA mobile communication to airborne radar systems. This book has been updated to include the latest developments in Digital Signal Processing, and has eight new chapters on: Automotive Radar Signal Processing Space-Time Adaptive Processing Radar Field Orientated Motor Control Matrix Inversion algorithms GPUs for computing Machine Learning Entropy and Predictive Coding Video compression

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  • Vægt840 g
    • coffee cup img
    10 cm
    book img
    19,1 cm
    23,5 cm

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    Mad Ethernet Training Classification Entropy Antennas Field programmable gate arrays Radar Video compression Magnetic flux Code words Time division multiple access butterfly Frequency Pulse Compression CUDA Space-Time Adaptive Processing Alexnet Quadrature Amplitude Modulation Filters Simd DFT Threads Wi-Fi Saturation Video signal processing FFT LDPC Signal-to-noise ratio JPEG Lossy Compression LTE Nyquist Windowing GOP Slice Induction motor Quantization TDMA FMCW-Radar Frequency Response Pid controller Digital signal processing Gradient Descent CDMA Euler equation Lossless Compression Analog-to-Digital Converter GPU Error Correction Coding Multipliers Baseband Predictive Coding VBV Finite impulse response Convolutional Encoding AC Motor DC Motor PRF MMSE Fixed-point Polar representation Huffman coding accumulator AC coefficients AESA Angle of arrival Analog-based cell phone Azimuth Resolution Azimuth Baseline JPEG Bilinear Transform Base station Back Emf Band-pass filter CA-CFAR Clark transform Color spaces Cholesky Decomposition Chroma scaling Common floating point Complex conjugate Complex exponential B frames Binned range sequences Blackman window Convolutional Layer Differential encoding Butterworth analog filter Doppler ambiguity Doppler Frequency DC Coefficient decimation Downconversion Deinterlacing coefficients Doppler Processing fully connected layer Constant false alarm rate FMCW range processing Frequency division duplex Float point number Data address generators Cyclic Prefix decibel determinate Intermediate frequency DSP processors Higher cost paths Intercoded Interference covariance matrix Infinite impulse response exponentials Fixed point numbers Floating point Field-oriented control Frequency spectrum FMCW doppler processing Nonsingular Low-pass filter GP-GPU MSB OS-CFAR Orthogonal Matrix hermitian P frames pixels I frames Passband Raised cosine filter Preadder Prewarping Roll-off factor Pulse Repetition Frequency Pulse-shaping filter Intersymbol interference HBM memory Sinc compensation Steering Vector Sampling effects residual Synthetic array radar IFFT Stopband Markov Source Intracoded Winograd transform warps Viterbi decoding Normalization layer OpenCL Park transform Macrocell block Mantissa Nonzero input Radar data cube Random access channel ReLU layer Mquant Pseudorandom number Quadrature phase shift keying Pci Express Twiddle factors Walsh codes Pulsed frequency spectrum Streaming multiprocessors Sidelobe clutter Touch tone frequencies Work Items Upconversion Vocoders

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