DSP Lookup Table Calculator | Waveform & LUT Generator

Home » DSP Lookup Table Calculator | Waveform & LUT Generator

Table Configuration

For Sine: 0 to 2π ≈ 6.28318
Output multiplier (e.g., DAC max vol)
Shift curve up/down

Preview & Code

About this Tool

The DSP Lookup Table Calculator is a professional engineering utility designed for developers working with embedded systems (Arduino, STM32, ESP32, FPGA) and digital signal processing.

Real-time mathematical operations like `sin()`, `cos()`, or `log()` are computationally expensive. In time-critical applications—such as audio synthesis, motor control, or FFT (Fast Fourier Transform)—these operations can cause bottlenecks.

A Lookup Table (LUT) solves this by pre-computing the values and storing them in an array. The processor simply "looks up" the value by index, which is hundreds of times faster than calculating it.

Key Features

  • Fixed-Point Support: Q15 (Int16) and Q31 (Int32) formats for processors without Floating Point Units (FPU).
  • Window Functions: Generate Hamming, Hanning, and Blackman windows for filter design and FFT.
  • Instant Visualization: See your waveform before you implement it.
  • Multi-Language Export: Get ready-to-paste code for C, C++, Python, and more.

How to Use

  1. Select your Function Type (e.g., Sine for audio generation).
  2. Choose the Table Size (Points). Larger tables = higher precision but more memory usage. A power of 2 (256, 1024) is recommended for efficient bit-masking.
  3. Set your Data Type. Use `Float` for modern MCUs, or `Int16` (Q15) for older or low-power chips.
  4. Adjust Amplitude to maximize dynamic range (e.g., scaling to 32767 for Int16).
  5. Copy the code array into your project source file.

Frequently Asked Questions

What is the advantage of using a LUT? +

Speed. A memory access takes a few cycles, while a `sin()` calculation involving Taylor series expansion can take hundreds. It also ensures deterministic timing, which is crucial for real-time OS (RTOS) tasks.

How do I use a Q15 Fixed Point table? +

A Q15 number represents fractional values from -1 to 0.999. It maps 1.0 to 32767. To use it: `float result = (float)lut_value / 32768.0f;`. In integer math, you perform operations and then bit-shift right by 15 to normalize the result.

Does size matter? (256 vs 1024) +

Yes. A 256-point sine table usually has enough precision for basic control loops or 8-bit audio. For high-fidelity audio or precise motor control, 1024 or 4096 points are preferred. Use Linear Interpolation between points to get high precision even with small tables.

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