模拟信号转换成数字形式,必须要经过量化才能实现。标量量化的方法包括均匀量化和非均匀量化两种,这两种方法都会带来精度的损失。文中探讨了模拟信源量化的最优算法,并用C语言实现了高斯信源在不同量化电平下均匀量化和非均匀量化的最优步长的数值计算。通过对计算结果进行比较,给出了非均匀量化优于均匀量化的具体结论。-Analog signals into digital form, you must go through quantification can be achieved. Scalar unifo

WSQ algorithm code.The algorithm which is popular for compression of fingerprint images is WSQ. WSQ stands for wavelet scalar quantization

编程实现颜色标量量化。输入为24位彩色图像，将RGB分量分别保持头3位、头3位、头2位的值不变，其余各位变为10000、10000和100000，观察处理后的图像的颜色失真情况。注意OpenCV中的RGB分量的存储顺序为BGR。-Programming color scalar quantization. Enter the 24-bit color images, the RGB components respectively held the first three, the first t

BCS-SPL-DPCM将DPCM和均匀标量量化应用于BCS-SPL，以从BCS测量产生压缩比特流。(BCS-SPL-DPCM applies DPCM and uniform scalar quantization to BCS-SPL to produce a compressed bitstream from the BCS measurements.)