Table Configuration
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
- Select your Function Type (e.g., Sine for audio generation).
- 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.
- Set your Data Type. Use `Float` for modern MCUs, or `Int16` (Q15) for older or low-power chips.
- Adjust Amplitude to maximize dynamic range (e.g., scaling to 32767 for Int16).
- Copy the code array into your project source file.
Frequently Asked Questions
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.
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.
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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