Matlab中的数据量化

假设我在Matlab中有一些绘图，如下所示：

x = linspace(0,10,10000);
input= sin(x);

我想把数据量化到一定的位数。（我意识到MATLAB从技术上量化了它的所有图形。）我尝试了以下方法：

bits = 7;
output =floor(2^bits*input)/2^bits

但这仅在输入介于0和1之间时有效。我该怎么办

方法#1

bsxfun

基于“插值查找”方案-

此外，尽量不要使用与内置MATLAB函数名相同的变量名，在本例中，它是

input

---

方法#2

interp1

基于-

x = linspace(min(input),max(input),2^bits) %// Setup the quantizied levels 
                                         %// ranging from min to max of the input data
output = interp1(x,x,input,'nearest') %// Get quantized values with 1-D interpolation
                                      %// to the nearest quantized levels

---

范例-

input [Input data] =
    0.8017    1.0533   -0.7489   -0.9363   -1.2691    0.4980    2.7891
bits [No. of bits used for quantization ] =
     2
x [These are 2^bits quantized levels ranging from min to max of input] =
   -1.2691    0.0836    1.4364    2.7891
output [Input data is brought to the nearest quantized levels taken from x] =
    1.4364    1.4364   -1.2691   -1.2691   -1.2691    0.0836    2.7891

---

好奇-这里提供的任何解决方案对您有用吗？仍在研究解决方案，但目前我正在试验quantiz函数。

input [Input data] =
    0.8017    1.0533   -0.7489   -0.9363   -1.2691    0.4980    2.7891
bits [No. of bits used for quantization ] =
     2
x [These are 2^bits quantized levels ranging from min to max of input] =
   -1.2691    0.0836    1.4364    2.7891
output [Input data is brought to the nearest quantized levels taken from x] =
    1.4364    1.4364   -1.2691   -1.2691   -1.2691    0.0836    2.7891