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Here are some examples of what can be done with SignalLab:

Acquire process, record and display the signals

Play and analyze the signal and display the results

Generate and output signals

Mix different signal sources, output and display the result

The following components are part of SignalLab:

Signal Generators:

• Generates Tone(Sine Wave), Triangle, Rectangle or DC signal.
• Generates pseudo-random Real(double) data samples.
• Generates pseudo-random Real(double) data samples with a Gaussian distribution.

Arithmetic components:

• Add
• Subtract
• Multiply
• Divide
• Applies a window function over the input signal
• Apply Real constant
• Apply Integer constant
• Apply Complex constant

File Access:

• Stores Real, Integer or Complex data into a Binary file
• Plays Real, Integer or Complex data from an existing Binary file

Filters:

• Performs a LowPass filter over the input signal
• Performs a HighPass filter over the input signal.
• Performs a BandPass filter over the input signal.
• Performs a BandStop filter over the input signal.
• Performs a FIR filter over the input signal.
• Performs an Arbitrary IIR filter over the input signal.
• Performs an BiQuad IIR filter over the input signal.
• Performs a Median Filter over the input signal.
• Converts the values of the buffers to absolute values
• Removes the DC component from the signal
• Adds a delay to the processed of the signal
• Takes a snapshot(Sample) buffer of the data and sends it to the component output.
• Enables or disables the data buffers to go trough. Works as On/Off switch for the signal passing trough the component.

Transformations:

• Performs fast Fourier transformation (FFT) over real or complex signal.
• Performs inverse fast Fourier transformation (Inverse FFT) to a real signal.
• Performs inverse fast Fourier transformation (Inverse FFT) to a Complex signal.
• Performs Discrete Fourier transformation (DFT) over real or complex signal.
• Performs inverse Discrete Fourier transformation (Inverse DFT) to a real signal.
• Performs inverse Discrete Fourier transformation (Inverse DFT) to a Complex signal.
• Computes the discrete Fourier transform ( Goertzel DFT ) for a given frequency for a real or complex buffer.
• Performs Discrete Cosine Transform (DCT).
• Performs Inverse Discrete Cosine Transform ( Inverse DCT).
• Performs forward single-level discrete wavelet Haar transformation (Haar).
• Performs Inverse single-level discrete wavelet Haar transformation ( Inverse Haar).

Converters:

• Converts the input signal to a square signal.
• Converts the input signal to a dB representation form.
• Converts Real(double) data buffer data into Integer data buffer.
• Converts Integer data buffer data into Real(double) data buffer.
• Converts two Real(double) data buffers containing the Real and Imaginary data into Complex data buffer.
• Converts Complex data buffer into two Real(double) data buffers containing the Real and Imaginary data.
• Converts the elements of a complex signal to polar coordinate form.
• Converts the polar form magnitude/phase pairs stored in input signals to Cartesian coordinate form.
• Performs a 90 degrees phase shift.
• Performs Conjugater conversion.
• Computes the Power Spectrum or the Magnitude of a Real Buffer.
• Rearranges the samples into buffers with a specified size.
• Changes the output range of the signal.
• Detects levels in the input signal.

Statistics components:

• Calculates the noise stats of a signal.

Meters:

• Implements a RMS (Root Mean Square) Meter.

User defined custom filters and generators:

• User defined generic filter for Real(double) Data Buffers.
• Generic Real data generator
• User defined generic filter for Integer Data Buffers.
• Generic Integer data generator
• User defined generic filter for Complex Data Buffers.
• Generic Complex data generator
• User defined generic filter for Binary Data Buffers.
• Generic Binary data generator