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dct.rar
- 已知两个不同图像块亮度数据如下: (1)分析DCT原理,采用DCT方法,编程并计算相应的DCT系数,分析系数分布特点。 (2)依据视觉特性分析量化表步长的分布特点,完成DCT系数量化。 (3)采用Z形扫描,实现输出数据的统计编码,形成Video stream。 (4)采用IDCT重建图像亮度数据,计算SAD大小,分析产生误差的原因及采用DCT进行数据压缩的原理。( ) (5)分别利用左上角1、3、6个系数重建图像,计算相应的SAD,并由
winsinc
- The windowed sinc filter uses the inverse fourier transform of ideal low - pass filter frequency response. The Inverse transform of the ideal low - pass response is the sinc function (sinx/x). The inverse fourier transform of the required frequency r
movavg
- A moving average filter averages a number of input samples and produce a single output sample. This averaging action removes the high frequency components present in the signal. Moving average filters are normally used as low pass filters. In recursi
lowerfilter
- ex5_11 频率采样技术:低通,朴素法 ex5_12 频率采样技术:低通, 最优法T1 & T2 分别用朴素法和最优法,并且在时域和频域进行比较。-ex5_11 sampling frequency: low-pass, a simple method ex5_12 sampling frequency: low-pass, optimal method T1 & T2, respectively, and the optimal use of a simple law, an
frequencygaussionlowpassfilters
- Frequency Gauss low pass filters program F5 main.m-Frequency Gauss low pass filters program F5 main.m
digitalfilter
- 设计产生一个连续信号,包含低频,中频,高频分量,对其进行采样,进行频谱分析,使用矩形窗设计不同特性的数字滤波器对信号进行滤波处理,分析所设计滤波器(画出了频率特性曲线),并对信号进行滤波,画出滤波后信号的时域波形和频谱,并对滤波前后的信号进行对比,同时设计出了一个友好的人机交互界面。-Designed to produce a continuous signal, including low frequency, medium frequency, high frequency componen
videowatermarkDCT
- 一个基于DCT系数的视频水印嵌入程序,读取yuv文件,提取其中的若干帧,然后对每帧做DCT变换,在中低频修改系数值,然后做IDCT,再把每帧图像组成YUV格式播放。-DCT coefficients of a video-based watermark embedding program, read the yuv file, extract the number of frames, and then do each frame DCT transform coefficients in th
biansheng
- 此文件实现了让语音信号通过低通,高通,带通滤波器使其变声,并且在GUI界面上绘出了个滤波器的频率响应和语音信号的频谱。-This file allows to achieve a voice signal through a low pass, high pass, band pass filter to make it change the sound, and plotted on a GUI interface and voice signal spectrum frequency res
speech-signal-filter
- 使用matlab语言对一段语音信号进行滤波处理,首先分析时域信号,之后进行傅立叶变换,转换成频域,使用巴特沃斯低通滤波器去除高频部分。-Use matlab language of a voice signal is filtered first time domain signal after the Fourier transform is converted into the frequency domain, using a Butterworth low-pass filter to
