add mixed signal

Author: zhiim

README.md

@@ -84,6 +84,7 @@ Check [examples](https://github.com/zhiim/doa_py/tree/master/examples) for more
 - **Broadband**
   - _ChirpSignal_: Chirp signals with different chirp bandwidths within the sampling period.
   - _MultiFreqSignal_: Broadband signals formed by the superposition of multiple single-frequency signals within a certain frequency band.
+  - _MixedSignal_: Narrorband and broadband mixed signal
 
 ### Algorithms
 

doa_py/__init__.py

@@ -1,5 +1,5 @@
 """
-# DOA_py
+# DOA_Py
 
 DOA Estimation algorithms implemented in Python. It can be used for ULA, UCA and
 broadband/wideband DOA estimation.
@@ -65,7 +65,8 @@
 You will a get a figure like this:
 ![music_spectrum](https://github.com/zhiim/doa_py/blob/master/pics/music_spectrum.svg)
 
-Check `examples` for more examples.
+Check [examples](https://github.com/zhiim/doa_py/tree/master/examples) for more
+examples.
 
 ## What's implemented
 
@@ -77,16 +78,17 @@
 
 ### Signal Models
 
-- Narrowband
-  **ComplexStochasticSignal**: The amplitude of signals at each sampling point
-  is a complex random variable.
-  **RandomFreqSignal**: Signals transmitted by different sources have different
-  intermediate frequencies (IF).
-- Broadband
-  **ChirpSignal**: Chirp signals with different chirp bandwidths within the
-  sampling period.
-  **MultiFreqSignal**: Broadband signals formed by the superposition of multiple
-  single-frequency signals within a certain frequency band.
+- **Narrowband**
+  - _ComplexStochasticSignal_: The amplitude of signals at each sampling point
+    is a complex random variable.
+  - _RandomFreqSignal_: Signals transmitted by different sources have different
+    intermediate frequencies (IF).
+- **Broadband**
+  - _ChirpSignal_: Chirp signals with different chirp bandwidths within the
+    sampling period.
+  - _MultiFreqSignal_: Broadband signals formed by the superposition of multiple
+    single-frequency signals within a certain frequency band.
+  - _MixedSignal_: Narrorband and broadband mixed signal
 
 ### Algorithms
 
@@ -109,9 +111,9 @@
 
 ## License
 
-This project is licensed under the [MIT](LICENSE) License - see the LICENSE
-file for details.
+This project is licensed under the [MIT](LICENSE) License - see the LICENSE file
+for details.
 """
 
-__version__ = "0.2.3"
+__version__ = "0.3.0"
 __author__ = "Qian Xu"

doa_py/arrays.py

@@ -93,9 +93,8 @@ def received_signal(
         snr=None,
         nsamples=100,
         amp=None,
-        min_length_ratio=0.1,
-        no_overlap=False,
         unit="deg",
+        **kwargs,
     ):
         """Generate array received signal based on array signal model
 
@@ -112,12 +111,10 @@ def received_signal(
             snr: Signal-to-noise ratio. If set to None, no noise will be added
             nsamples (int): Number of snapshots, defaults to 100
             amp: The amplitude of each signal, 1d numpy array
-            min_length_ratio (float): Minimum length ratio of the frequency
-                range in (f_max - f_min)
-            no_overlap (bool): If True, generate signals with non-overlapping
-                subbands
             unit: The unit of the angle, `rad` represents radian,
                 `deg` represents degree. Defaults to 'deg'.
+            **kwargs: Additional parameters for generating broadband signal,
+                check `gen` method of `BroadSignal`.
         """
         # Convert the angle from degree to radians
         angle_incidence = self._unify_unit(angle_incidence, unit)
@@ -129,8 +126,7 @@ def received_signal(
                 nsamples,
                 angle_incidence,
                 amp,
-                min_length_ratio,
-                no_overlap,
+                **kwargs,
             )
         if isinstance(signal, NarrowSignal):
             received = self._gen_narrowband(
@@ -171,8 +167,7 @@ def _gen_broadband(
         nsamples,
         angle_incidence,
         amp,
-        min_length_ratio=0.1,
-        no_overlap=False,
+        **kwargs,
     ):
         """Generate broadband received signal
 
@@ -188,9 +183,8 @@ def _gen_broadband(
         incidence_signal = signal.gen(
             n=num_signal,
             nsamples=nsamples,
-            min_length_ratio=min_length_ratio,
-            no_overlap=no_overlap,
             amp=amp,
+            **kwargs,
         )
 
         # generate array signal in frequency domain

doa_py/plot.py

@@ -200,25 +200,10 @@ def plot_spatial_spectrum_2d(
 def plot_estimated_value_2d(
     estimated_azimuth,
     estimated_elevation,
-    num_signal,
     ground_truth=None,
     unit="deg",
-    x_label="Angle",
-    y_label="Spectrum",
 ):
-    """Display estimated angle values
-
-    Args:
-        estimates: Angle estimates
-        num_signal: Number of signals
-        ground_truth: True incident angles
-        ticks_min (int, optional): Minimum value for x-axis ticks.
-            Defaults to -90.
-        ticks_max (int, optional): Maximum value for x-axis ticks.
-            Defaults to 90.
-        x_label (str, optional): x-axis label. Defaults to "Angle".
-        y_label (str, optional): y-axis label. Defaults to "Spetrum".
-    """
+    """Display estimated angle values"""
     if unit == "deg":
         estimated_azimuth = estimated_azimuth / 180 * np.pi