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Bit-Plane-Decomposition

  • LZW壓縮和解壓縮程序 lzw.c 主要的功能模塊 bitio.c/bitio.h 一些支撐函數

    LZW壓縮和解壓縮程序 lzw.c 主要的功能模塊 bitio.c/bitio.h 一些支撐函數,支持以比特(bit)為單位的文件I/O 用法: 壓縮 lzw E <in-file> <out-file> 解壓縮 lzw D <in-file> <out-file> 壓縮時,讀入<in-file>中內容,壓縮后存入<out-file>中,得到壓縮文件。 解壓縮時,讀入<in-file>中內容,將結果存入<out-file>中,得到原文件。 本代碼在linux+gcc/windows+vc下經過測試,為了使讀者容易理解算法本身, 算法實現中僅采用了簡單的錯誤處理機制和優化。

    標簽: bitio LZW lzw 解壓

    上傳時間: 2015-06-08

    上傳用戶:chenbhdt

  • 使用java編寫的LSB圖像信息隱藏算法演示程序

    使用java編寫的LSB圖像信息隱藏算法演示程序,可以將任何符合大小限制的文件拆分為一個一個bit隱藏到非壓縮bmp圖像中。支持在隱藏前通過zip類對文件進行壓縮

    標簽: java LSB 編寫 圖像信息

    上傳時間: 2015-06-09

    上傳用戶:xuanchangri

  • Included are the files wav1.m, wav2.m, wavecoef.mat and readme. wav2 function implements the tree

    Included are the files wav1.m, wav2.m, wavecoef.mat and readme. wav2 function implements the tree structured wavelet transform of the input matrix, up to the given level of decomposition. Wav2 uses another function called wav1, which takes the well known wavelet transform of the given matrix. Daubechies wavelet coefficients are used for wavelet transform operation wahich is saved in wavcoeff.mat.

    標簽: implements the wav Included

    上傳時間: 2015-06-23

    上傳用戶:愛死愛死

  • Features • Compatible with MCS-51® Products • 8K Bytes of In-System Programmable (ISP

    Features • Compatible with MCS-51® Products • 8K Bytes of In-System Programmable (ISP) Flash Memory – Endurance: 1000 Write/Erase Cycles • 4.0V to 5.5V Operating Range • Fully Static Operation: 0 Hz to 33 MHz • Three-level Program Memory Lock • 256 x 8-bit Internal RAM • 32 Programmable I/O Lines • Three 16-bit Timer/Counters • Eight Interrupt Sources • Full Duplex UART Serial Channel • Low-power Idle and Power-down Modes • Interrupt Recovery from Power-down Mode • Watchdog Timer • Dual Data Pointer • Power-off Flag

    標簽: 8226 Programmable Compatible In-System

    上傳時間: 2015-06-27

    上傳用戶:dianxin61

  • 暫時只支持jpeg2000支持的 cdf97 和spline53 可以這樣來測試: x=imread( E:studyjpeg2000imageslena.tif ) % see the de

    暫時只支持jpeg2000支持的 cdf97 和spline53 可以這樣來測試: x=imread( E:\study\jpeg2000\images\lena.tif ) % see the decomposition coefficients y=wavelift(x, 1, spl53 ) using spline 5/3 wavelet figure subplot(1,2,1) imshow(x) subplot(1,2,2) imshow(mat2gray(y)) % see the reconstruction precision yy=wavelift(x, 5) using cdf 9/7 wavelet ix=wavelift(yy,-5) inverse sum(sum((double(x)-ix).^2))

    標簽: 2000 imageslena studyjpeg imread

    上傳時間: 2014-01-14

    上傳用戶:懶龍1988

  • 8位相等比較器

    8位相等比較器,比較8位數是否相等 -- 8-bit Identity Comparator -- uses 1993 std VHDL -- download from www.pld.com.cn & www.fpga.com.cn

    標簽: 8位 比較器

    上傳時間: 2015-07-02

    上傳用戶:colinal

  • Avalon_VGA

    Avalon_VGA,-- This design provides an interface to the Alcahest VGA daughter card. -- The design comprises of an 8-bit VGA driver with Avalon bus interfaces. There are a total of -- three Avalon interfaces.

    標簽: Avalon_VGA

    上傳時間: 2015-07-07

    上傳用戶:kikye

  • Turbo Decoder Release 0.3 * Double binary, DVB-RCS code * Soft Output Viterbi Algorithm * MyHDL c

    Turbo Decoder Release 0.3 * Double binary, DVB-RCS code * Soft Output Viterbi Algorithm * MyHDL cycle/bit accurate model * Synthesizable VHDL model

    標簽: Algorithm Decoder DVB-RCS Release

    上傳時間: 2015-07-10

    上傳用戶:清風冷雨

  • 平均因子分解法

    平均因子分解法,適用于正定矩陣First, let s recall the definition of the Cholesky decomposition: Given a symmetric positive definite square matrix X, the Cholesky decomposition of X is the factorization X=U U, where U is the square root matrix of X, and satisfies: (1) U U = X (2) U is upper triangular (that is, it has all zeros below the diagonal). It seems that the assumption of positive definiteness is necessary. Actually, it is "positive definite" which guarantees the existence of such kind of decomposition.

    標簽: 分解

    上傳時間: 2013-12-24

    上傳用戶:啊颯颯大師的

  • 關于FPGA流水線設計的論文 This work investigates the use of very deep pipelines for implementing circuits in

    關于FPGA流水線設計的論文 This work investigates the use of very deep pipelines for implementing circuits in FPGAs, where each pipeline stage is limited to a single FPGA logic element (LE). The architecture and VHDL design of a parameterized integer array multiplier is presented and also an IEEE 754 compliant 32-bit floating-point multiplier. We show how to write VHDL cells that implement such approach, and how the array multiplier architecture was adapted. Synthesis and simulation were performed for Altera Apex20KE devices, although the VHDL code should be portable to other devices. For this family, a 16 bit integer multiplier achieves a frequency of 266MHz, while the floating point unit reaches 235MHz, performing 235 MFLOPS in an FPGA. Additional cells are inserted to synchronize data, what imposes significant area penalties. This and other considerations to apply the technique in real designs are also addressed.

    標簽: investigates implementing pipelines circuits

    上傳時間: 2015-07-26

    上傳用戶:CHINA526

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