/// <summary>
///
/// </summary>
/// <param name="orginal">输入源信号</param>
/// <param name="lev">分解层级</param>
/// <param name="wname">haar、db1~db10</param>
/// <returns>各层近似系数+细节系数，各层系数</returns>
public static WaveDec1ViewModel WaveDec1(List <double> orginal, int lev = 1, string wname = "haar")
{
WaveDec1ViewModel result = new WaveDec1ViewModel();
try
{
DWT dwt = new DWT(orginal, wname);//获取到相关的分解系数
List <double> co = new List <double>();
int[] li = new int[lev + 2];
li[li.Length - 1] = orginal.Count;
for (int i = 0; i < lev; i++)
{
List <List <double> > data = DWTUtil.DWT1(orginal, dwt);
if (data != null && data.Count == 2)
{
orginal = data[0];
List <double> re = data[1];
if (re != null)
{
co = re.Concat(co).ToList();
li[lev - i] = re.Count;
}
}
}
co = orginal.Concat(co).ToList();
li[0] = orginal.Count;
result.AppAndDetail = co;
result.Coefficient = li.ToList();
result.Dwt = dwt;
}
catch (Exception ex)
{
}
return(result);
}
/// <summary>
///
/// </summary>
/// <param name="orginal">输入源信号</param>
/// <param name="lev">分解层级</param>
/// <param name="wname">haar、db1~db10</param>
/// <returns></returns>
public static List <object> WaveDec2(List <List <double> > orginal, int lev = 1, string wname = "haar")
{
List <object> result = new List <object>();
try
{
if (orginal != null && orginal.Any())
{
DWT dwt = new DWT(orginal, wname);//获取到相关的分解系数
if (dwt != null && dwt.Lo_D != null && dwt.Hi_D != null && dwt.Lo_D.Count == dwt.Hi_D.Count)
{
List <double> cl = new List <double>();
List <List <double> > s = new List <List <double> >();
int r = lev + 2, c = orginal.Count;
for (int i = 0; i < r - 1; i++)
{
List <double> item = new List <double>();
for (int j = 0; j < 2; j++)
{
item.Add(0);
}
s.Add(item);
}
s.Add(new List <double> {
c, orginal[0].Count
});
for (int i = 1; i <= lev; i++)
{
Dictionary <int, List <List <double> > > data = DWTUtil.DWT2(orginal, dwt);
if (data != null && data.Count == 4)
{
//近似分量
orginal = data[0];
//水平细节分量
List <List <double> > ch = data[1];
//垂直细节分量
List <List <double> > cv = data[2];
//对角细节分量
List <List <double> > cd = data[3];
//可优化，没有操作ca，看DWT2是否需要进行ca的值获取
cl = ConvertToLA(ch).Concat(ConvertToLA(cv)).Concat(ConvertToLA(cd)).Concat(cl).ToList();
s[r - i - 1] = new List <double> {
orginal.Count, orginal[0].Count
};
}
}
s[0] = new List <double> {
orginal.Count, orginal[0].Count
};
result.Add(ConvertToLA(orginal).Concat(cl).ToList());
result.Add(s);
}
}
}
catch (Exception ex)
{
var sd = ex;
}
return(result);
}
/// <summary>
/// 小波基函数
/// </summary>
/// <param name="wname">小波名称</param>
/// <param name="infoModel">小波信息</param>
/// <param name="iter">迭代次数</param>
public static WavefunModel Wavefun(string wname, WaveletsInfoModel infoModel, int iter)
{
WavefunModel data = new WavefunModel();
if (!string.IsNullOrEmpty(wname))
{
string debut = wname.Substring(0, 2);
double coef = Math.Pow(Math.Sqrt(2), iter), pas = (double)1 / Math.Pow(2, iter);
switch (infoModel.type)
{
case 1:
DWT dwt = new DWT(wname);
int logn = dwt.Lo_R.Count;
int nbpts = Convert.ToInt32((logn - 1) / pas + 1);
List <double> psi = DWTUtil.Upcoef("d", dwt, iter);
if (psi != null && psi.Any())
{
psi = psi.Select(m => m * coef).ToList();
}
List <int> result = GetNBpts(nbpts, iter, logn); //nbpts、nb、dn
int nb = result[1], dn = result[2] + 1;
nbpts = result[0];
DWTUtil.Wkeep1(psi, nb, "c");
psi.Insert(0, 0);
for (int i = 1; i <= dn; i++)
{
psi.Add(0);
}
//sign depends on wavelet
if ("co".Equals(debut) || "sy".Equals(debut) || "dm".Equals(debut))
{
psi = psi.Select(m => - m).ToList();
}
//data.phi = phi;
data.psi = psi;
data.type = infoModel.type;
data.xval = Linspace(0, (nbpts - 1) * pas, nbpts);
break;
case 2:
break;
case 3:
break;
case 4:
data = Morlet(infoModel.bounds[0], infoModel.bounds[1], (int)Math.Pow(2, iter));
break;
case 5:
break;
default:
break;
}
}
return(data);
}
