The MIMO DSP Platform, introduced in 2021, struck a chord with signal processing developers as a native development platform for rapid signal processing. In 2023, DSP island was born, inheriting the genes of the MIMO DSP Platform. The new module concept not only enables rapid development, but also ensures flexibility in signal processing. We provide the best tools for each development stage, such as C++ for developing signal processing core modules and Python or GUI for connecting between blocks. Go beyond prototyping to a new world with DSP island, which enables the development of new signal processing systems.
DSP island’s superior modular design allows you to start development in small units. DSP island supports the construction of data flow, which is essential for algorithm development. Customers can concentrate on developing their own algorithms. Accelerate your research and development by enabling you to check your algorithm in a short description. Scalable system can be easily built by simply combining modules.
DSP island has built-in mechanisms to ensure excellent real-time performance. One such mechanism is the automatic execution of the described algorithm in an independent thread. Algorithms written in the DSP island module are automatically assigned to each CPU logical core for execution. The greater the number of CPU logical cores, the more suitable it is for building systems that scale. The difficulties encountered in developing algorithms up to now are solved in an instant. Wideband parallel processing, which is also ideal for realizing multi-channel systems for video and audio, can also be realized.
The DSP island package includes three tools: C/C++ SDK, Python Plugin, and DSP island GUI. This 3-stage development package supports a comprehensive workflow from the first to the second stage of development. It is a convenient development environment that can be used for all aspects of research and development.
The DSP island framework is the next generation technology that is the future of computational processing. Put several small DSPs (Digital Signal Processors) together and you get tremendous computing power. DSP island is revolutionizing every industry and project and is a great choice for the following reasons.
The DSP island framework pushes computational speed and efficiency to unprecedented levels through the integration of tiny DSP units. Even complex tasks can be processed block-by-block in parallel. The tremendous improvement in system performance allows for incredible advancements in project deliverables.
DSP island is designed for ease of use and step-by-step development. Development of the computation cores is done in the C++ language to ensure maximum performance, while connecting the computation cores is easily accomplished with DSP island Python and DSP island GUI. The comprehensive environment that allows gradual system scale-up dramatically shortens the time from idea generation to realization.
DSP island is applicable to many industries and brings innovation to video processing, voice processing, AI development, and many other fields. Incorporating DSP island into your application or project will open up a world of possibilities for new developments.
DSP island is an energy-efficient choice because it efficiently uses all the cores in the calculator. It also provides a sustainable development environment by enabling processing in small increments and allowing the system to grow incrementally. It provides a sustainable computing solution for the future, both in terms of the environment and in terms of human and time resources.
The DSP island framework is an attractive option for building the future of computational processing. Take advantage of its capabilities and pave the way to the future. DSP island extends the possibilities of computation and delivers great results.
License Dongle mark: Requires a licensed dongle to run. / SDK mark: SDK is required for development.
Model | Platform | Product Package | Contents |
---|---|---|---|
DSP-COR-RUN-WIN | Windows | DSP island Core Runtime License | This is a license to run the development artifacts of DSP-MOD-SDK and DSP-COR-SDK. |
DSP-PYT-RUN-WIN | Windows | DSP island Python Runtime License | This license is for running DSP-MOD-SDK and DSP-COR-SDK development artifacts in Python. |
DSP-GUI-RUN-WIN | Windows | DSP island GUI Runtime License | License to run DSP-MOD-SDK and DSP-COR-SDK development artifacts in GUI. |
DSP-COR-RUN-MAC | macOS | DSP island Core Runtime License | This is a license to run the development artifacts of DSP-MOD-SDK and DSP-COR-SDK. |
DSP-PYT-RUN-MAC | macOS | DSP island Python Runtime License | This license is for running DSP-MOD-SDK and DSP-COR-SDK development artifacts in Python. |
DSP-GUI-RUN-MAC | macOS | DSP island GUI Runtime License | License to run DSP-MOD-SDK and DSP-COR-SDK development artifacts in GUI. |
DSP-COR-RUN-OTH | Other | DSP island Core Runtime License | This is a license to run the development artifacts of DSP-MOD-SDK and DSP-COR-SDK. |
DSP-PYT-RUN-OTH | Other | DSP island Python Runtime License | This license is for running DSP-MOD-SDK and DSP-COR-SDK development artifacts in Python. |
DSP-GUI-RUN-OTH | Other | DSP island GUI Runtime License | License to run DSP-MOD-SDK and DSP-COR-SDK development artifacts in GUI. |
Model | Platform | Product Package | Contents |
---|---|---|---|
DSP-MOD-SDK-WIN | Windows | DSP island Module SDK | Software development kit required for module extension development. |
DSP-COR-SDK-WIN | Windows | DSP island Core SDK | Software development kit required for core extension development. |
DSP-MOD-SDK-MAC | macOS | DSP island Module SDK | Software development kit required for module extension development. |
DSP-COR-SDK-MAC | macOS | DSP island Core SDK | Software development kit required for core extension development. |
DSP-MOD-SDK-OTH | Other | DSP island Module SDK | Software development kit required for module extension development. |
DSP-COR-SDK-OTH | Other | DSP island Core SDK | Software development kit required for core extension development. |
Item | Description |
---|---|
Builtin video modules | Video Generator / Video Through |
Builtin audio modules | Audio Generator / Audio Through / Audio Output / Volume Control / Volume Control OSC / WAV File Reader |
Builtin audio effect modules | Spatial Reverb / Spatial Echo / Spatial Pan / Spatial Dist / Spatial Room |
Builtin MIDI modules | MIDI Input / MIDI Output |
Item | Specification |
---|---|
CPU | Intel Core, Xeon series / AMD Ryzen series / Apple M series / (Other CPUs are available on request) |
Minimum system memory | 32 [GB] |
Minimum disk space | 1 [GB] (Separate free space for data storage is required) |
Minimum display resolution | 1920x1080 [Pixel] |
Supported Operating system | Windows 10 (64-bit) / Windows 11 (64-bit) / macOS Monterey later / (Other operating systems are available on request) |
System disk type | SSD is recommended |
Compiler (C++17 standard) | Windows: Visual Studio 2019 Visual C++ Compiler / macOS: Clang |
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