[go: up one dir, main page]

Pikacz, 2014 - Google Patents

An algorithm for a lossless compression of raw radar data

Pikacz, 2014

Document ID
5200444623401353700
Author
Pikacz B
Publication year
Publication venue
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2014

External Links

Snippet

This paper presents a novel algorithm designed and optimized for a lossless, real-time compression of raw data in pulse radar system. Characteristics of radar data are described together with compression methods exploiting them. Compression ratios of presented …
Continue reading at www.spiedigitallibrary.org (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
    • G06F17/141—Discrete Fourier transforms
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
    • G06F17/147—Discrete orthonormal transforms, e.g. discrete cosine transform, discrete sine transform, and variations therefrom, e.g. modified discrete cosine transform, integer transforms approximating the discrete cosine transform
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30067—File systems; File servers
    • G06F17/30129—Details of further file system functionalities
    • G06F17/3015—Redundancy elimination performed by the file system
    • G06F17/30153—Redundancy elimination performed by the file system using compression, e.g. sparse files
    • H—ELECTRICITY
    • H03—BASIC ELECTRONIC CIRCUITRY
    • H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same information or similar information or a subset of information is represented by a different sequence or number of digits
    • H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
    • H03M7/40—Conversion to or from variable length codes, e.g. Shannon-Fano code, Huffman code, Morse code
    • H03M7/4031—Fixed length to variable length coding
    • H03M7/4037—Prefix coding
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
    • G06F7/38—Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation
    • G06F7/48—Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation using non-contact-making devices, e.g. tube, solid state device; using unspecified devices
    • G06F7/4806—Computations with complex numbers
    • G06F7/4818—Computations with complex numbers using coordinate rotation digital computer [CORDIC]

Similar Documents

Publication Publication Date Title
Offringa Compression of interferometric radio-astronomical data
Liu et al. Exploring autoencoder-based error-bounded compression for scientific data
US9859917B2 (en) Enhanced data compression for sparse multidimensional ordered series data
US8990217B2 (en) Lossless compression of high nominal-range data
CN107923971B (en) Method and system for compressing radar signals
US9753124B2 (en) LIDAR point cloud compression
US8254210B2 (en) High fidelity data compression for acoustic arrays
US20130019029A1 (en) Lossless compression of a predictive data stream having mixed data types
Su et al. An improved Toeplitz measurement matrix for compressive sensing
Pikacz An algorithm for a lossless compression of raw radar data
Rodrigues et al. A study on data compression algorithms for its efficiency analysis
Shukla et al. A comparative analysis of lossless compression algorithms on uniformly quantized audio signals
US12200102B1 (en) Codebook-based homomorphic encryption for efficient and privacy-preserving data processing
Han et al. Sparse signal reconstruction via expanded subspace pursuit
Kasem et al. A comparative study of audio compression based on compressed sensing and sparse fast fourier transform (sfft): Performance and challenges
Luzhetsky et al. Adaptive compression methods of data based on Fibonacci linear forms
Kunkel et al. Towards decoupling the selection of compression algorithms from quality constraints–an investigation of lossy compression efficiency
Wu et al. Choosing the quantization bits and quantization method of synthetic aperture radar image
Ochoa et al. The implementation of compressive sensing on an FPGA for chaotic radars
Nichols et al. Fixing basis mismatch in compressively sampled photonic link
Atubga et al. Comparative study of lossy and lossless data compression in distributed optical fiber sensing systems
Timofeev et al. Spectral image compression
Wu et al. Fast vector quantization image coding by mean value predictive algorithm
Lee et al. Improving statistical similarity based data reduction for non-stationary data
Lu et al. Performance analysis of compressed sensing with uniform scalar quantisation